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Studies on an elucidation of an optimal condition for the medicinal plant Pinellia ternata and a development of a sure method for seed setting of the plant aimed for domestication
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- EGUCHI Toshihiko
- Principal Investigator
- 九州大学
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- 田中 宏幸
- Co-Investigator
- 山陽小野田市立山口東京理科大学
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- 尾崎 行生
- Co-Investigator
- 九州大学
About This Project
- Japan Grant Number
- JP17K08021 (JGN)
- Funding Program
- Grants-in-Aid for Scientific Research
- Funding Organization
- Japan Society for the Promotion of Science
Kakenhi Information
- Project/Area Number
- 17K08021
- Research Category
- Grant-in-Aid for Scientific Research (C)
- Allocation Type
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- Multi-year Fund
- Review Section / Research Field
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- Biological Sciences > Agriculture > Agro-engineering > Agricultural environmental engineering/Agricultural information engineering
- Research Institution
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- Kyushu University
- Project Period (FY)
- 2017-04-01 〜 2020-03-31
- Project Status
- Completed
- Budget Amount*help
- 4,940,000 Yen (Direct Cost: 3,800,000 Yen Indirect Cost: 1,140,000 Yen)
Research Abstract
In this study, the following results were obtained with the aim of 1) searching for optimal cultivation conditions for efficient production and 2) producing excellent strains by crossbreeding of Pinellia ternata. 1) EC and pH of nutrient solution didn't affect the plant growth within EC 1.2-2.3mS/cm and pH ４-６. We established a comparison criteria for searching optimal cultivation conditions by investigating the time course of tuber enlargement and accumulation of useful ingredients in tubers under constant temperature, humidity and light conditions for an ultra-high-yielding line under cultivar registration. Under the same temperature and humidity conditions, we investigated the effect of three kinds of monochromatic light of red, green and blue on P. ternata and found that tubers and cormlets grew larger under blue light. 2) Many lines collected from from Hokkaido to Okinawa were appeared to have polyploidy mutations and chloroplast DNA mutations in Japanese native strains.
Details 詳細情報について
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- CRID
- 1040000781967352064
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- Text Lang
- ja
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- Data Source
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- KAKEN